Abstract During past few decades, fuzzy decision is an important attention in the areas of science, engineering, economic system, business, etc. To solve day-to-day problem, researchers use data transportation problem for presenting uncontrollable factors; and most multi-objective problems are solved using goal programming. However, when contains interval-valued data, then obtained solution was...

In this paper, a new method is proposed for solving a special type of fuzzy transportation problem by assuming that a decision maker is uncertain about the precise values of transportation cost only but there is no uncertainty about the supply and demand of the product. In the proposed method transportation costs are represented by generalized trapezoidal fuzzy numbers. To illustrate the propos...

In this paper, a method is proposed for solving an unbalanced fuzzy transportation problem without converting into a balanced one. The advantage of this method is that it gives an optimal solution. In the proposed method transportation costs, demand and supply are represented by triangular fuzzy numbers. To illustrate the proposed method, a numerical example is solved and the obtained result is...

In this paper, Multi objective two stage Fuzzy transportation problem is solved in a feasible method. For this solution zero suffix method is used in which the supplies and demands are trapezoidal fuzzy numbers and fuzzy membership of the objective function is defined. Here a numerical example is solved to check the validity of the proposed method. Mathematics Subject Classifications: 90C08, 90C90

In this Paper, a “Fuzzy Transportation Problem” is investigated using Triangular membership function. Fuzzy vogel’s approximation method is used to obtain initial basic feasible solution and optimum solution is obtained using fuzzy modified distribution method. The method is illustrated by an example.